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20182020
most citedAn Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

90 citations · 90 across the 3 of their papers we have counts for

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cs.NE2020

Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks

Brian Gardner, André Grüning

Experimental studies support the notion of spike-based neuronal information processing in the brain, with neural circuits exhibiting a wide range of temporally-based coding strateg…

cs.NE2020

Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation

Andrew Stephan, Brian Gardner, Steven J. Koester +1

In this work we propose a new supervised learning method for temporally-encoded multilayer spiking networks to perform classification. The method employs a reinforcement signal tha…